Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC436DE53651F2655A7342E740AF3816333D242F2C0C4960E229EEDEA5B449EB06BFD9 |
|
CONTENT
ssdeep
|
768:FhXu+YjUXkn88d5MAeTpi3zGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:hXy8+5Spmzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cece9b31666425 |
|
VISUAL
aHash
|
ffffc3c3c3c3ffff |
|
VISUAL
dHash
|
4e20869e9e860c1e |
|
VISUAL
wHash
|
20dfc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07400200018 |
|
VISUAL
cropResistant
|
4e20869e9e860c1e,fef1e1c0e1e7e4a8,b430383cbcbc9c1d,03bc9a9a9a9adaca |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 33 techniques to evade detection by security scanners and make reverse engineering more difficult.